Principal Data Scientist, Data and AI Convergence
Core
Strategic leader driving enterprise-level transformation by integrating advanced AI/ML capabilities into R&D workflows to enhance strategic decision-making and clinical development.
Role type
Principal Data Scientist (Strategy & Architecture)
Builds
Enterprise-wide scalable AI/ML workflow integrations and production-ready analytical pipelines for R&D and clinical development.
Domain
Pharmaceutical R&D, Clinical Development, Healthcare Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise AI/ML strategy, Advanced ML/DL/GenAI, Python/R, MLOps, Cloud platforms, Data architecture, Cross-functional leadership, Organizational transformation
Preferred skills
Pharmaceutical R&D domain knowledge, Regulatory compliance, Change management, Consulting experience
Technologies
TensorFlow, PyTorch, Scikit-learn, Hugging Face, Airflow, Kubeflow, MLflow, AWS, Azure
Responsibilities
Identify enterprise gaps in data convergence and design scalable AI/ML integration strategies; Architect end-to-end analytical pipelines connecting data ingestion to model deployment; Lead cross-functional initiatives to align workflow transformation with strategic priorities; Establish governance frameworks for enterprise-wide AI/ML integration; Oversee development of reusable AI/ML components and workflow templates.
Seniority
Principal, strategy & mentorship
